Triple
T33634161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villanueva, Misamis Oriental |
E861643
|
entity |
| Predicate | hasEconomicDescriptor |
P52901
|
FINISHED |
| Object | growing economy |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: growing economy | Statement: [Villanueva, Misamis Oriental, hasEconomicDescriptor, growing economy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEconomicDescriptor Context triple: [Villanueva, Misamis Oriental, hasEconomicDescriptor, growing economy]
-
A.
hasEconomicDimension
Indicates that something involves, affects, or is characterized by economic factors, considerations, or consequences.
-
B.
hasEconomyCharacteristic
chosen
Indicates that an economy possesses a particular attribute, feature, or quality.
-
C.
hasEconomicIdentity
Indicates that an entity possesses a distinct economic role, profile, or characterization within an economic system or context.
-
D.
hasEconomicPosition
Indicates that an entity holds a particular role, status, or standing within an economic system or structure.
-
E.
hasEconomicRole
Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f34981c54c81909b33c3fa2208a52d |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:41 a.m.